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Polishchuk, Valentin
Publications (10 of 42) Show all publications
Sedov, L., Polishchuk, V. & Vishwanath, B. (2021). Ground risk vs. Efficiency in Urban Drone Operations. In: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar: . Paper presented at Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), New Orleans, LA, United States of America, 20 - 24 September, 2021.
Open this publication in new window or tab >>Ground risk vs. Efficiency in Urban Drone Operations
2021 (English)In: Fourteenth USA/Europe Air Traffic Management Research and Development Seminar, 2021Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores tradeoffs between ground impact and efficiency of drone flights in urban scenarios. We give an algorithm which produces a set of routes with different lengths and varying number of people affected by the drone. We also present an interactive online visualization tool allowing the user to modify flightpaths in order to explore routing options. Our path finder and the GUI are implemented for a metropolitan area of Norrköping municipality in Sweden. The methods studied in this paper may give UTM service provider the tools to negotiate flightplans which will be acceptable by both the regulator and the drone operator.

Keywords
Urban Airspace; Ground Risk; Flight Efficiency
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-187948 (URN)
Conference
Fourteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2021), New Orleans, LA, United States of America, 20 - 24 September, 2021
Available from: 2022-08-31 Created: 2022-08-31 Last updated: 2023-11-01Bibliographically approved
Sedov, L., Polishchuk, V., Thibault, M., Maria, U. & Darya, L. (2021). Qualitative and quantitative risk assessment of urban airspace operations. In: SESAR Innovation Days: . Paper presented at SESAR Innovation Days (SID 2021), 7-9 of December, 2021.
Open this publication in new window or tab >>Qualitative and quantitative risk assessment of urban airspace operations
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2021 (English)In: SESAR Innovation Days, 2021Conference paper, Published paper (Refereed)
Abstract [en]

Specific Operations Risk Assessment (SORA) is a qualitative methodology for assessing risks of drone operations. In this paper, SORA is compared to and complemented with quantitative estimations of the risk (earlier called HFRM: High-fidelity risk modeling). We highlight intrinsic shortcomings of both SORA and HFRM, and show how HFRM may help to deal with SORA’s ambiguities. (We do not have a recipe to remedy HFRM’s drawbacks with the help of SORA, but suggest a possible regulatory fix to HFRM, addressing its deficiency.) With its focus on ground risk, this paper complements the works of TU Dresden which suggested integrating “agent simulation as air risk assessment in SORA” [Fricke et al., ATM Seminar 2021] and of SESAR’s ER4 BUBBLES project “proposing a quantitative risk analysis which enhances or replaces the qualitative model of SORA” (also for the air risk) [BUBBLES Deliverable 4.1]; we also connect to CORUS observations on SORA shortcomings and use U-space services for addressing them. Our work advocates for stricter regulations, including digitalization and automation not only in definitions, but also in mandates/requirements. Our arguments are illustrated on simple synthetic cases and on real-world experimental examples from urban areas.

Keywords
Unmanned Aerial Systems, High-fidelity risk modeling, Specific Operations Risk Assessment, Ground risk, Air risk
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-187951 (URN)
Conference
SESAR Innovation Days (SID 2021), 7-9 of December, 2021
Available from: 2022-08-31 Created: 2022-08-31 Last updated: 2022-09-08Bibliographically approved
Sedov, L., Polishchuk, V. & Virgilio, A. (2020). Altitude zoning for UTM. In: 10th SESAR Innovation Days, 7-10 December, 2020: . Paper presented at 10th SESAR Innovation Days, 2020.
Open this publication in new window or tab >>Altitude zoning for UTM
2020 (English)In: 10th SESAR Innovation Days, 7-10 December, 2020, 2020Conference paper, Published paper (Refereed)
Abstract [en]

We give algorithms for splitting a geographical region into ”approximately flat” rectangular zones. Each zone is assigned a feasible flight altitude, providing simple flight level guidance for future operations of unmanned aerial systems in low-level airspace. We consider a rural scenario with uneven ground level and an urban setting featuring many tall structures. In both cases, our solutions adapt to the underlying terrain or city landscape. In the rural scenario, operating on a fixed altitude within a rectangle allows the drone to stay within the upper limit of 120m while not flying too close to the ground; our objective is to minimize the complexity of the airspace. In the urban case, we aim at minimizing the volume of airspace reserved for drone operations, while allowing overflight over tall buildings in the city. Experiments with real landscape and city skyline data demonstrate output of our solutions with various input parameters.

National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-178797 (URN)
Conference
10th SESAR Innovation Days, 2020
Available from: 2021-08-30 Created: 2021-08-30 Last updated: 2023-11-01Bibliographically approved
Sáez, R., Prats, X., Polishchuk, T., Polishchuk, V. & Schmidt, C. (2020). Automation for Separation with CDOs: Dynamic Aircraft Arrival Routes. Journal of Air Transportation, 28(4), 144-154
Open this publication in new window or tab >>Automation for Separation with CDOs: Dynamic Aircraft Arrival Routes
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2020 (English)In: Journal of Air Transportation, ISSN 2380-9450, Vol. 28, no 4, p. 144-154Article in journal (Refereed) Published
Abstract [en]

We present a mixed-integer programming (MIP) approach to compute aircraft arrival routes in a terminal maneuvering area (TMA) that guarantee temporal separation of all aircraft arriving within a given time period, where the aircraft are flying according to the optimal continuous descent operation (CDO) speed profile with idle thrust. The arrival routes form a merge tree that satisfies several operational constraints, e.g., all merge points are spatially separated. We detail how the CDO speed profiles for different route lengths are computed. Experimental results are presented for calculation of fully automated CDO-enabled arrival routes during one hour of operation on a busy day at Stockholm TMA.

Place, publisher, year, edition, pages
AIAA International, 2020
Keywords
Continuous Descent Operations, Temporal Separation, Fuel-efficient Arrivals, Integer Programming
National Category
Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-169117 (URN)10.2514/1.D0176 (DOI)2-s2.0-85092417849 (Scopus ID)
Available from: 2020-09-09 Created: 2020-09-09 Last updated: 2022-01-18Bibliographically approved
Kevin A., B., Polishchuk, V., Sedov, L. & Roman, V. (2020). Geometric secluded paths and planar satisfiability. In: Sergio Cabello and Danny Z. Chen (Ed.), 36th International Symposium on Computational Geometry (SoCG 2020): . Paper presented at 36th International Symposium on Computational Geometry (SoCG 2020), June 22-26, 2020 (pp. 24:1-24:15). Dagstuhl, Germany, 164
Open this publication in new window or tab >>Geometric secluded paths and planar satisfiability
2020 (English)In: 36th International Symposium on Computational Geometry (SoCG 2020) / [ed] Sergio Cabello and Danny Z. Chen, Dagstuhl, Germany, 2020, Vol. 164, p. 24:1-24:15Conference paper, Published paper (Refereed)
Abstract [en]

We consider paths with low exposure to a 2D polygonal domain, i.e., paths which are seen as little as possible; we differentiate between integral exposure (when we care about how long the path sees every point of the domain) and 0/1 exposure (just counting whether a point is seen by the path or not). For the integral exposure, we give a PTAS for finding the minimum-exposure path between two given points in the domain; for the 0/1 version, we prove that in a simple polygon the shortest path has the minimum exposure, while in domains with holes the problem becomes NP-hard. We also highlight connections of the problem to minimum satisfiability and settle hardness of variants of planar min- and max-SAT.

Place, publisher, year, edition, pages
Dagstuhl, Germany: , 2020
Series
Leibniz International Proceedings in Informatics (LIPIcs), ISSN 1868-8969
National Category
Computational Mathematics
Identifiers
urn:nbn:se:liu:diva-178800 (URN)10.4230/LIPIcs.SoCG.2020.24 (DOI)
Conference
36th International Symposium on Computational Geometry (SoCG 2020), June 22-26, 2020
Available from: 2021-08-30 Created: 2021-08-30 Last updated: 2021-09-09Bibliographically approved
Polishchuk, T., Polishchuk, V., Schmidt, C., Saéz, R., Prats, X., Hardell, H. & Smetanová, L. (2020). How to Achieve CDOs for All Aircraft: Automated Separation in TMAs: Enabling Flexible Entry Times and Accounting for Wake Turbulence Categories. In: : . Paper presented at SESAR Innovation Days 2020, December 7-10, 2020.
Open this publication in new window or tab >>How to Achieve CDOs for All Aircraft: Automated Separation in TMAs: Enabling Flexible Entry Times and Accounting for Wake Turbulence Categories
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2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This work presents an enhanced optimization framework for fully automated scheduling of energy-efficient continuous-descent arrivals with guaranteed separation in the Terminal Maneuvering Area (TMA). On the example of a real heavy-traffic scenario at Stockholm Arlanda airport, we demonstrate that our approach enables scheduling of all planned arrivals during one hour of operation as continuous descents, by allowing flexible time of arrival to entry points within a range of ± 5 minutes. This provides significant savings in the time aircraft spend inside the TMA and a reduced fuel consumption. In addition, we integrate different aircraft wake turbulence categories that enable category-specific separation criteria. 

Keywords
Separation, MIP, CDO, Sequencing, Pressure
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-173982 (URN)
Conference
SESAR Innovation Days 2020, December 7-10, 2020
Available from: 2021-03-12 Created: 2021-03-12 Last updated: 2021-03-19Bibliographically approved
Lemetti, A., Polishchuk, T., Polishchuk, V., Sáez, R. & Prats, X. (2020). Identification of Significant Impact Factors on Arrival Flight Efficiency within TMA. In: : . Paper presented at ICRAT 2020.
Open this publication in new window or tab >>Identification of Significant Impact Factors on Arrival Flight Efficiency within TMA
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2020 (English)Conference paper, Published paper (Refereed)
Abstract [en]

An important step towards improving the flight performance within Terminal Maneuvering Area (TMA) is the identification of the factors causing inefficiencies. Without knowing which exact factors have high impact on which performance indicators, it is difficult to identify which areas could be improved. In this work, we quantify the flight efficiency using average additional time in TMA, average time flown level and additional fuel consumption associated with the inefficient flight profiles. We apply statistical learning methods to assess the impact of different weather phenomena on the arrival flight efficiency, taking into account the current traffic situation. We utilize multiple data sources for obtaining both historical flight trajectories and historical weather measurements, which facilitates a comprehensive analysis of the variety of factors influencing TMA performance. We demonstrate our approach by identifying that wind gust and snow had the most significant impact on Stockholm Arlanda airport arrivals in 2018

National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-169123 (URN)
Conference
ICRAT 2020
Available from: 2020-09-09 Created: 2020-09-09 Last updated: 2023-03-13Bibliographically approved
Krus, K., Polishchuk, T. & Polishchuk, V. (2020). Identifying Interesting Moments in Controllers Work Video via Dimensionality Reduction. In: 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT): . Paper presented at International Conference on Artificial Intelligence and Data Analytics for Air Transportation, Nanyang Technological University, Singapore, 3-4 February, 2020.
Open this publication in new window or tab >>Identifying Interesting Moments in Controllers Work Video via Dimensionality Reduction
2020 (English)In: 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT), 2020Conference paper, Published paper (Refereed)
Abstract [en]

We explore use of machine learning in automating the discovery of meaningful time intervals in video data. We combine Convolutional Neural Networks and Principal Component Analysis in order to zoom-in on interesting moments in hours-long videos of air traffic controllers work. Experimental results for air traffic control tower at Stockholm Bromma airport confirm feasibility of our approach. The method may be consequently used to single out workload-influencing factors, incident investigation and other post-operational analysis of controllers performance.

Keywords
Air traffic control, Video analysis, Convolutional neural networks, Principal component analysis, Identifying meaningful situations
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-169378 (URN)
Conference
International Conference on Artificial Intelligence and Data Analytics for Air Transportation, Nanyang Technological University, Singapore, 3-4 February, 2020
Available from: 2020-09-15 Created: 2020-09-15 Last updated: 2021-01-29Bibliographically approved
Polishchuk, T., Polishchuk, V., Lemetti, A., Schmidt, C. & Josefsson, B. (2020). Integrating Weather Impact in RTC Staff Scheduling. In: : . Paper presented at 10th Sesar Innovation Days 2020 (pp. 1464-1476).
Open this publication in new window or tab >>Integrating Weather Impact in RTC Staff Scheduling
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2020 (English)Conference paper, Published paper (Refereed)
Keywords
Remote Tower Centre, weather modeling, controller, taskload
National Category
Transport Systems and Logistics
Identifiers
urn:nbn:se:liu:diva-179272 (URN)
Conference
10th Sesar Innovation Days 2020
Available from: 2021-09-15 Created: 2021-09-15 Last updated: 2023-01-30
Sedov, L., Krasnochub, A. & Polishchuk, V. (2020). Modeling quarantine during epidemics and mass-testing using drones. PLOS ONE, 15(6), Article ID e0235307.
Open this publication in new window or tab >>Modeling quarantine during epidemics and mass-testing using drones
2020 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 15, no 6, article id e0235307Article in journal (Refereed) Published
Abstract [en]

We extend the classical SIR epidemic spread model by introducing the "quarantined" compartment. We solve (numerically) the differential equations that govern the extended model and quantify how quarantining "flattens the curve" for the proportion of infected population over time. Furthermore, we explore the potential of using drones to deliver tests, enabling mass-testing for the infection; we give a method to estimate the drone fleet needed to deliver the tests in a metropolitan area. Application of our models to COVID-19 spread in Sweden shows how the proposed methods could substantially decrease the peak number of infected people, almost without increasing the duration of the epidemic.

Place, publisher, year, edition, pages
Public Library of Science, 2020
National Category
Probability Theory and Statistics
Identifiers
urn:nbn:se:liu:diva-174228 (URN)10.1371/journal.pone.0235307 (DOI)32579590 (PubMedID)
Available from: 2021-03-17 Created: 2021-03-17 Last updated: 2023-11-01
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